计算机工程与应用2024，Vol.60Issue(2)：77-86,10.DOI:10.3778/j.issn.1002-8331.2303-0035
结合判别分析和分布差异约束的领域适应方法
Domain Adaptation Method Combined with Discriminant Analysis and Distribution Discrepancy Constraints
摘要
Abstract
To solve the problem of category structure loss and local feature loss caused by feature transformation based on global distribution adaptation in the process of domain adaptation,a domain adaptation method combined with discrim-inant analysis and distribution discrepancy constraints is proposed.Firstly,the mean distance metric of the domain data distribution is constructed for domain distribution adaptation;secondly,the class divergence metric is constructed to main-tain the class discriminant structure;meanwhile,based on the sample local distribution information,multiple discrepancy weights are designed to constrain the domain distribution discrepancy measure and the class discrimination measure respectively,which realizes the joint optimization of discriminant preservation and locality preservation;finally,based on the feature transformation optimized by the metrics aforementioned,the source domain data and target domain data are projected into the subspace for classification task.During the process of domain adaptation,the proposed method can not only reduce the distribution difference between domains,but also take into account the preservation of category discrimi-nation and local characteristics of data,thus effectively improve the performance of reusage of out-of-domain data.The experimental results on 28 cross-domain classification tasks show that the proposed method significantly outperforms the other related methods in terms of the evaluation metric.关键词
领域适应/类内散度/类间散度/判别分析/分布差异Key words
domain adaptation/inner-class scatter/intra-class scatter/discriminant analysis/distribution discrepancy分类
信息技术与安全科学引用本文复制引用
覃姜维,唐德玉..结合判别分析和分布差异约束的领域适应方法[J].计算机工程与应用,2024,60(2):77-86,10.基金项目
国家自然科学基金(61976239) （61976239）
广东省教育厅青年创新人才项目(2017KQNCX108). （2017KQNCX108）
